基于Randles铅酸蓄电池模型的SOC和SOH在线估算分析
Analysis of SOC and SOH Online Estimation Based on Randles Lead-acid Battery Model
杜金其 1李冶 1盛廷禹 1胡原源 1令狐克棋 1游清清 1王伟1
作者信息
- 1. 国网重庆市电力公司綦江供电分公司,重庆 401420
- 折叠
摘要
阐述基于Randles模型协同卡尔曼滤波算法对模型算法进行辨识,分析卡尔曼滤波算法在铅酸蓄电池SOC和SOH估算中的应用,探讨进一步提高SOC和SOH估算精度以及实用性的建议.
Abstract
This paper describes tthe identification of model algorithms based on the Randles model collaborative Kalman filtering algorithm,analyzes the application of Kalman filtering algorithm in SOC and SOH estimation of lead-acid batteries,and explores suggestions for further improving the accuracy and practicality of SOC and SOH estimation.
关键词
Randles模型/铅酸蓄电池/SOC/SOHKey words
Randles model/lead-acid battery/SOC/SOH引用本文复制引用
出版年
2024
NETL
NSTL
万方数据